Claude Code for Beginners: The Complete AI Coding Guide

Prepare a Python Flask web app for public release by polishing documentation, updating gitignore, adding a readme, and documenting code with PyDoc comments, then commit, test, and push to GitHub.

Develop Python unit tests for app.py using pytest and mock Metar data. Include integration tests, Flask route tests, coverage analysis, and README updates.

Explore autonomous task completion with Cloud Code by building a complete authentication system in React, including registration, login, and JWT with secure backend and frontend integration.

Learn to manage long coding sessions effectively in Claude Code for Beginners: the complete AI coding guide.

Craft specific, effective development prompts to get precise results. Emphasize the three Cs—clear, complete, contextual—and the context-action-details-examples framework for Express.js login endpoints and robust error handling.

Explore multi-file project navigation using Cloud Code to analyze project structure, identify main components and routes connected to controllers, and understand database setup with PostgreSQL and connection pooling for refactoring.

Audit software quality with Cloud Code to identify architecture, design patterns, error handling, fault tolerance, and anti-patterns; assess modularity, dependencies, and bottlenecks, and recommend concrete code fixes.

Review the code base for design pattern usage across creational, structural, behavioral, and domain patterns. Evaluate correctness and appropriateness, and identify gaps such as missing service layer and repository pattern.

Audit error handling and resilience, identify gaps, implement centralized error handling, unhandled rejection protection, async wrapper middleware, retry mechanisms, circuit breakers, and secure, user-friendly reporting for production readiness.

Evaluate exception flow analysis in a web app, auditing error handling from origin to recovery. Identify anti-patterns, logging practices, and remediation like timeouts, circuit breakers, and a global error handler.

Explore resilience and fault tolerance by analyzing how a program withstands heavy loads, recovers from major errors, and avoids service lockups, unavailability, or data being overwritten.

Analyze code quality metrics across the express login demo, highlighting cyclomatic and cognitive complexity, lines of code, and coupling, with refactoring guidance to split the login handler.

Identify and analyze code duplication, including exact, near, and data duplicates, and apply dry principles with a utilities module and reusable error handling to reduce repetition.

Implement and audit authorization across all routes with RBAC, robust JWT validation, and proper scope checks, ensuring multi-tenant isolation and safe error handling.

Audit cookie and session security by verifying flags (Secure, HttpOnly, SameSite), token storage, and session management gaps, then implement refresh tokens and logout to reduce risks.

Explore secure file handling practices through an audit, emphasizing white list file type validation, size limits, name sanitization, and antivirus scanning integration, illustrated by authentication-focused Express demo with no uploads.

Audit and harden business logic by examining race conditions, price manipulation, and client-side versus server-side validation, while addressing time-based vulnerabilities, rate limiting, and account lockout.

Conducts secrets management audit, identifies hard-coded secrets, insecure env files not ignored by git, weak jwt secrets, no secret rotation, and encryption key handling issues.

Processes a security audit of logging and monitoring to identify sensitive data exposure and missing logs, then prescribes fixes such as sanitized errors, structured logging, and log rotation.

Explore how to generate a comprehensive security report from a full security audit, including an executive summary, vulnerability breakdown by severity, and actionable remediation and compliance checklists.

Learn to create and manage cloud code agents, including sub-agents callable from the command line interface and programmable via the cloud code SDK, with custom contexts and tools.

Migrate a MariaDB database to SQLite using Cloud Code, handling schema extraction, data transfer, and verification with prompts, scripts, and a Python-based migration workflow.

Explore building CLI tools with Cloud Code using Python, Go, and C++, including an HTML/CSS/JS project generator, a Go CSV-to-JSON CLI with a limit, and a C++ password generator.